Normalises the percentages
normalise(df, col2convert = 2:ncol(df))The dataframe containing the data to convert.
A vector of the columns to convert. Default is all the columns but the first, which contains an age, a depth or a sampleID.
A vector of unique taxonIDs.
df <- data.frame(matrix(1:25, ncol = 5))
colnames(df) <- paste(rep("col", 5), 1:5, sep = "")
normalise(df)
#> col1 col2 col3 col4 col5
#> 1 1 0.8679826 0.9730902 1.0193806 1.0454305
#> 2 2 0.9428087 0.9883424 1.0083959 1.0196810
#> 3 3 1.0079798 1.0016266 0.9988285 0.9972540
#> 4 4 1.0652514 1.0133005 0.9904209 0.9775454
#> 5 5 1.1159776 1.0236403 0.9829741 0.9600892
normalise(df, col2convert = 3:5)
#> col1 col2 col3 col4 col5
#> 1 1 6 0.9542126 1 1.0257828
#> 2 2 7 0.9797263 1 1.0114161
#> 3 3 8 1.0024052 1 0.9986457
#> 4 4 9 1.0226968 1 0.9872195
#> 5 5 10 1.0409592 1 0.9769360